This paper carefully builds an advanced English teaching evaluation system, which deeply integrates the powerful ability of deep learning model and realizes the comprehensive intelligent innovation of teaching quality evaluation. The system uses intelligent algorithms to dig deep the hidden value of teaching data, which provides a rich and accurate information basis for evaluation. By constructing a multi-dimensional evaluation index system, the system can accurately capture key features and highlights in the teaching process. Meanwhile, with the help of the advanced technology of convolutional neural network (CNN), the system can efficiently analyze and evaluate complex and changeable teaching scenes in detail, ensuring the objective, fair and accurate evaluation results. This innovative design greatly simplifies the traditional cumbersome evaluation process, improves the efficiency and scientific nature of the evaluation work, and provides more immediate and accurate feedback to education administrators, teachers and students, injecting strong impetus for the continuous optimization and improvement of English teaching quality.